WGCNA input from deseq2

Question

[1769mkc]

I m trying to do co-expression analysis with WGCNA , so im running deseq2 , so far im using this vst <- getVarianceStabilizedData(dds) to give as input for WGCNA , but im getting "c stack memory issues" , it looks like my input is too big as of now. How do i filter data and give them as input .

I have 5 different cell lineage such as HSC, CMP ,GMP ,Monocytes and Granulocyte rna seq data so from this i want to make co-expression network, whether my approach is correct or am i doing something wrong?